Cargando…
Two Paradoxes in Linear Regression Analysis
Regression is one of the favorite tools in applied statistics. However, misuse and misinterpretation of results from regression analysis are common in biomedical research. In this paper we use statistical theory and simulation studies to clarify some paradoxes around this popular statistical method....
Autores principales: | FENG, Ge, PENG, Jing, TU, Dongke, ZHENG, Julia Z., FENG, Changyong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Shanghai Municipal Bureau of Publishing
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5434296/ https://www.ncbi.nlm.nih.gov/pubmed/28638214 http://dx.doi.org/10.11919/j.issn.1002-0829.216084 |
Ejemplares similares
-
Inconsistency Between Univariate and Multiple Logistic Regressions
por: WANG, Hongyue, et al.
Publicado: (2017) -
Simpson’s Paradox: Examples
por: WANG, Bokai, et al.
Publicado: (2018) -
The Differences and Similarities Between Two-Sample T-Test and Paired T-Test
por: FRALICK, Drew, et al.
Publicado: (2017) -
Homoscedasticity: an overlooked critical assumption for linear regression
por: Yang, Kun, et al.
Publicado: (2019) -
Log-transformation and its implications for data analysis
por: FENG, Changyong, et al.
Publicado: (2014)